NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries
The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking and document parsing; the new NVIDIA Kumo family open weight foundation models and libraries for structured business data; NVIDIA Cosmos 3.5 world models; NVIDIA Alpamayo 2 Edge for autonomous vehicles; NVIDIA BioNeMo for healthcare and scientific discovery; and NVIDIA Ising for quantum computing.
The open models give organizations a foundation they can customize with local data and deploy on infrastructure they control.
NVIDIA Nemotron Powers Post-Training Across Industries
NVIDIA Nemotron brings open language models, datasets and recipes to developers building agents. The models support text and images, helping agents orchestrate workflows, reason through complex problems and complete specialized tasks at a lower cost. Nemotron models are built with data, research and expertise from the NVIDIA Nemotron Coalition, including European partners Black Forest Labs, H-Company and Mistral.
Nemotron provides a foundation for enterprises to build applications based on their own knowledge and expertise. Dassault Systèmes, Domyn, Dream, Palantir’s customers, Salesforce, SAP, Shopify, Synopsys and WPP, as well as professional services providers like Accenture and EY, are working with Nemotron models and datasets to create custom models and build domain-specific agents.
A broad ecosystem of post-training partners, including AfterQuery, AgileRL, AI21, Alice, Applied Compute, Baseten, CoreWeave, Distil Labs, EON, Fastino, Fireworks, Google Cloud, Mercor, Multiverse Computing, Nebius, Handshake AI, Plurai, Prime Intellect, River.AI, Scale AI, Trajectory and TNG, is helping enterprises customize Nemotron for domain-specific workloads.
NVIDIA Kumo Speeds Agents’ Work With Structured Enterprise Data
NVIDIA Kumo open foundation models, libraries and tools help agents and applications forecast outcomes, score fraud risk and recommend actions from structured business data. Part of NVIDIA Agent Knowledge Foundation, Kumo shortens time to prediction and reduces the cost and complexity of building a separate machine learning pipeline for every task.
Developers can use pretrained Kumo models to bring predictions to more applications quickly, then fine-tune them using proprietary data when higher performance is critical. The portfolio includes NVIDIA Kumo Structured, with models for relational and tabular prediction, forecasting and anomaly detection, and NVIDIA Kumo Engine, an open library stack for developing and deploying structured data foundation models.
Cognite, Coinbase, Databricks, DoorDash, Revolut and Tubi are among the first to work with Kumo models to accelerate development. Snowflake customers are already using Kumo models to accelerate AI development in industries including advertising, energy, financial services and retail.
NVIDIA Cosmos Accelerates Robotics Training and Simulation
NVIDIA Cosmos is a family of open world foundation models that helps developers build robots, autonomous vehicles and vision agents that understand and interact with the physical world.
NVIDIA is introducing new Cosmos post-training and optimization tools to help developers improve world models using less compute, along with simulation checkpoints for evaluating behavior in interactive driving and robotic manipulation scenarios before real-world testing.
NVIDIA is also introducing Cosmos Data Factory — comprising blueprints and core agent skills — to help developers curate, label, generate and evaluate training data for driving scenarios, product defects, image augmentation and event generation. Developers can use complete workflows or individual capabilities with agents coordinating the process.
Porsche with Voxel51, ANYbotics with Encord, Zalando and CEVA Logistics with Sereact, and Siemens are using Cosmos Data Factory to create high-quality, diverse training datasets and improve model precision.
NVIDIA Alpamayo 2 Brings Real-Time Reasoning to Autonomous Vehicles
NVIDIA Alpamayo 2 Edge is a compact reasoning model that brings real-time scene understanding and motion planning directly into autonomous vehicles. Built on NVIDIA Cosmos 3 Edge’s Nemotron-based foundation and optimized for the NVIDIA DRIVE AGX Thor platform, it helps developers bring advanced driving capabilities into vehicles with lower computing requirements.
NVIDIA BioNeMo RFD4-Proteina Advances Protein Design
NVIDIA BioNeMo RFD4-Proteina is an open protein design model from NVIDIA and the Baker Lab at the University of Washington’s Institute for Protein Design.
The model generates protein sequences and 3D structures to help researchers design proteins that bind to difficult targets, assemble into complex structures and bind to small molecules.
NVIDIA BioNeMo RFD4-Proteina delivers leading performance across more than 10 protein design tasks and generates designs about 13x faster than RFdiffusion3 in a benchmark of 200 amino acid proteins. Researchers can use the model through agents to generate and evaluate candidates against design goals and molecular constraints, then choose which designs to test in the lab.
NVIDIA Ising Accelerates Quantum Development
The NVIDIA Ising family of open models provides a common, extensible foundation to speed the breakthroughs needed to develop useful quantum supercomputers, from real-time hardware calibration to error correction, across different qubit modalities and tailored to individual hardware needs.
IQM Quantum Computers is using Ising to calibrate its quantum processors, showcasing how specialized open calibration models outperform large general-purpose models. SEEQC is combining the NVIDIA NVQLink platform and Ising with its unique Digital Link to meet the low-latency requirements needed for real-time quantum error correction.
AWS is making NVIDIA Ising readily available to researchers by integrating the model family into AWS Parallel Computing Service (AWS PCS). While decoding is typically performed on classical hardware colocated with the quantum processor due to latency requirements, the AWS PCS integration lets researchers build on Ising prior to deployment.
Availability
- NVIDIA Nemotron 3.5 Super VL is available on Hugging Face, ModelScope, OpenRouter and build.nvidia.com as an NVIDIA NIM microservice, as well as through NVIDIA cloud, post-training and inference partners. Nemotron 3.5 Bolt E4B 4GB is expected to be available on Friday, Oct. 23.
- NVIDIA Nemotron Retriever open models are available on Hugging Face, various partner platforms, and as an NVIDIA NIM microservice on build.nvidia.com.
- NVIDIA Kumo open models are available on Hugging Face and optimized and packaged as an NVIDIA NIM microservice for production inference on build.nvidia.com.
- NVIDIA Cosmos is now openly available on Hugging Face and GitHub, and through select inference partners.
- NVIDIA Alpamayo 2 Edge will be available for download on GitHub and Hugging Face later this month.
- The NVIDIA BioNeMo open model RFD4-Proteina is available on build.nvidia.com and as an NVIDIA NIM microservice, as well as on GitHub, Hugging Face and through select inference partners.
- NVIDIA Ising is available on GitHub, Hugging Face and build.nvidia.com.
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